code: def test_batch_consistency(self):
      model = squim_objective_base()
      model.eval()
  
      batch_size, num_frames = 3, 16000
      waveforms = torch.randn(batch_size, num_frames)
  
      ref_scores = model(waveforms)
      hyp_scores = [
          torch.zeros(batch_size),
          torch.zeros(batch_size),
          torch.zeros(batch_size),
      ]
      for i in range(batch_size):
          scores = model(waveforms[i : i + 1])
          for j in range(3):
              hyp_scores[j][i] = scores[j]
      self.assertEqual(len(hyp_scores), len(ref_scores))
      for i in range(len(ref_scores)):
          self.assertEqual(hyp_scores[i], ref_scores[i])
  
file_path: audio/test/torchaudio_unittest/models/squim/squim_test.py
imports: import torch
  from parameterized import parameterized
  from torchaudio.models import squim_objective_base, squim_subjective_base
  from torchaudio_unittest.common_utils import skipIfNoCuda, torch_script, TorchaudioTestCase
label_desc: Use image node_id 4 for calling the TestSquimObjective obj's underlying member method code with example usage: obj.test_batch_consistency() without return types